1. Information Governance Jo Wall South East Public Health Intelligence Analyst Training Day 2, Session 5 11 th February 2016

2. Session 1 – Data access and information governance What is Information Governance? 2 Session 5 – Information Governance Information Security Records Management Confidentiality /Data Protection Freedom of Information Act Data Quality Information Governance South East Public Health Intelligence Analyst Training, Day 2, 11th February 2016

3. Session 1 – Data access and information governance Why should we be interested…? Using data is crucial to public health practice Need to understand information governance and how it affects: Access to data Sharing data Publishing data 3 Session 5 – Information Governance South East Public Health Intelligence Analyst Training, Day 2, 11th February 2016

4. Session 1 – Data access and information governance The Spectrum of Identifiable Data 4 Session 5 - Information Governance National Drug Treatment Monitoring System South East Public Health Intelligence Analyst Training, Day 2, 11th February 2016

5. Session 1 – Data access and information governance Disclosive statistics Indicators that could be potentially disclosive: Numbers of events / people Percentages Rates where the denominators are available, e.g. age- specific rates Maps and charts based on the data Non-disclosive statistics: Life expectancy at birth results Directly-age standardised rates (DASRs) 5 Session 5 – Information Governance South East Public Health Intelligence Analyst Training, Day 2, 11th February 2016

6. Session 1 – Data access and information governance Methods to prevent disclosure Table Redesign: group categories together to remove small numbers aggregate to higher level geography aggregate across a longer time period Primary Suppression: remove small values, typically <5, and replace with special character, e.g. “x” Secondary Suppression: removal of values from additional cells to protect primary suppression being derived by subtraction from totals Rounding: adjusting values in all cells in a table to a specified base 6 Session 5 – Information Governance South East Public Health Intelligence Analyst Training, Day 2, 11th February 2016

7. Session 1 – Data access and information governance Confidentiality matters Example: A table of statistics for psychiatric services at a hospital shows admissions by single years of age, and diagnosis. Attribute disclosure has occurred if someone, who knows their neighbour was admitted for such services, discovers from the statistic that they are schizophrenic Example: A woman told her husband that she had a termination on certain grounds, but a table of health statistics contains a zero in this cell and therefore reveals that this did not occur 7 Session 5 – Information Governance South East Public Health Intelligence Analyst Training, Day 2, 11th February 2016

8. Session 1 – Data access and information governance Weblinks Disclosure control of health statistics: http://www.ons.gov.uk/ons/guide-method/best-practice/disclosure-control-of-health- statistics/index.html Disclosure control policy for tables: http://www.ons.gov.uk/ons/guide-method/best-practice/disclosure-control-policy-for- tables/index.html ONS policy for births and deaths: http://www.ons.gov.uk/ons/guide-method/best-practice/disclosure-control-policy-for-birth- and-death-statistics/index.html HES Interim response to proposed changes to statistical disclosure control: http://www.hscic.gov.uk/media/18989/HES-Statistical-Disclosure-Control-interim- response/pdf/HES_Statistical_Disclosure_Control_interim_response.pdf Data Protection Act http://www.legislation.gov.uk/ukpga/1998/29/contents Freedom of Information Act http://www.opsi.gov.uk/acts/acts2000/ukpga_20000036_en_1 8 Session 5 – Information Governance South East Public Health Intelligence Analyst Training, Day 2, 11th February 2016